You are reviewing results from a research workflow and need to explain how you would judge whether the data and model outputs are trustworthy. The discussion is about your general approach to validating data quality, checking consistency, and confirming that reported performance is reliable before others use the findings.
How do you ensure accuracy and reliability in your research data?